Physical circuit diagram recognition method based on deep learning and application thereof

Abstract

The invention discloses a physical circuit diagram recognition method based on deep learning and an application thereof. The method comprises the steps of obtaining an image of a to-be-recognized physical circuit diagram and performing image enhancement processing on the image of the to-be-recognized physical circuit diagram; identifying the binary image by using the trained component identification neural network model to obtain all components of the to-be-identified physical circuit diagram, each component corresponding to an identification ID and a component name; generating graph structuredata corresponding to the to-be-identified physical circuit diagram, wherein the Graph structure data comprises a vertex set and an edge set, the vertex set is an intersection set of component connecting lines, and the edge set is a connecting line set between vertexes; performing component detection and Graph simplification on the generated Graph structure data to output an associated componentsequence, the associated component sequence comprising a component connection type and a component ID, and calculating a physical attribute of a target component by using the associated component sequence to achieve classification and identification of all circuit components of the circuit diagram; and extracting the connection relationship among the components.

Description

technical field [0001] The invention belongs to the technical field of image recognition, and in particular relates to a deep learning-based physical circuit diagram recognition method and its application. Background technique [0002] Physical circuit diagram recognition refers to the extraction of key information in circuit exercise graphics by machines to further analyze the knowledge attributes in the graphics. As an important prerequisite for the automatic solution technology of physical circuit problems, the accuracy of circuit diagram recognition directly affects the accuracy of subsequent reasoning solutions. The research on circuit diagram recognition technology is the cross direction between the field of circuit analysis and the field of pattern recognition. In the development process in recent decades, most of them use image recognition methods that are also in the field of computer vision. In the early days, circuit unit features were manually designed and clas...

AI Technical Summary

Problems solved by technology

The technical challenges faced are as follows: (1) In terms of component identification, there are still problems such as low accuracy and large algorithm scale, which makes it difficult to apply on devices with limited computing power; (2) In terms of knowledge and semantic understanding of components , the output of traditional pattern recognition tasks cannot directly participate in knowledge calculation, making it difficult to extract deep knowledge semantics

As a result, related machine answering systems and intelligent guidance systems based on this technology cannot be applied on a large scale on mobile smart terminals.

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